An Attemp to Predict the Prevalence of Wasting by WHZ grounded on insights from historical data

flowchart LR
  subgraph DW["Data Wrangling"]
    zscores[Compute Z-scores]
    zscores --> WHZ --> Define[/Define wasting/] --> Exclude([Exclude outliers in WHZ MFAZ])
    zscores --> MFAZ --> Define --> Exclude

  end

  subgraph PC["Plausibility Check"]
    Plausible[Plausibility Check]
    Plausible --> wfhz[WHZ] --> FLFLT([Flawless or Faulty])
    Plausible --> mfaz[MFAZ] --> FLFLT
  end

  subgraph SFET["Split FE and Testing sets"]
    FLW[Flawless] --> FLW_TS_RDM[/Time & Random based/]
    FLW_TS_RDM --> FLWFE[/F.Extraction: 80%/] --> FLW_TSFE_set([31,066])
    FLW_TS_RDM --> FLWT[/Testing: 20%/] --> FLW_TST_set([7,767])
    FLT[Faulty] --> FLT_TS_RDM[/Time & Random based/]
    FLT_TS_RDM --> FLTFE[/F.Extraction: 80%/] --> FLT_TSFE_set([74,075])
    FLT_TS_RDM --> FLTT[/Testing: 20%/] --> FLT_TST_set([18,519])
  end

  subgraph FEX["Feature Extraction"]
    burden[Total wasting]
    burden --> WHZMUAC[WHZ or MUAC]
    burden --> WHZMFAZ[WHZ or MFAZ]
    RAT[Prevalence Ratio]
    WHZMUAC --> prop1[/%WHZ/] --> Med([Median])
    WHZMUAC --> prop2[/%MUAC/] --> Med
    WHZMFAZ --> prop1
    WHZMFAZ --> prop3[/%MFAZ/] --> Med
    RAT --> ratio1[/WHZ:MUAC/] --> Med
    RAT --> ratio2[/WHZ:MFAZ/] --> Med
  end

  subgraph MOD["Model"]
    model[Predict and Test Accuract]
    model --> metric1[Mean Absolute Error]
    model --> metric2[Mean Percent Absolute Error]
  end

DW --> PC --> SFET --> FEX --> MOD